Wavelet Quantile Regression Toolbox

A comprehensive toolbox for wavelet-domain quantile analyses of bivariate and multivariate time series. Provides Wavelet Quantile Regression and Multivariate Wavelet Quantile Regression after Adebayo and Ozkan (2024) , Wavelet Quantile-on-Quantile regression with bootstrap p-values extending Sim and Zhou (2015) , the nonparametric Causality-in-Quantiles test of Balcilar, Gupta and Pierdzioch (2016) together with its wavelet variant, Wavelet Quantile Mediation and Moderation, Wavelet Quantile Correlation, and a wavelet-based nonparametric Quantile Density estimator. The Maximal Overlap Discrete Wavelet Transform (MODWT) decomposition is performed via 'waveslim' and Short / Medium / Long band aggregation is supported throughout. For plain Quantile-on-Quantile regression see the companion CRAN package 'QuantileOnQuantile'. All interactive 3D surfaces, heatmaps and contour plots default to the 'MATLAB' 'Parula' colour map.


Reference manual

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install.packages("wqrr")

1.0.0 by Merwan Roudane, 4 months ago


https://github.com/merwanroudane/wqrr


Report a bug at https://github.com/merwanroudane/wqrr/issues


Browse source code at https://github.com/cran/wqrr


Authors: Merwan Roudane [aut, cre, cph] , Nicholas Sim [ctb] (Original Quantile-on-Quantile methodology) , Hongtao Zhou [ctb] (Original Quantile-on-Quantile methodology) , Tomiwa Sunday Adebayo [ctb] (Wavelet Quantile Regression methodology) , Mehmet Balcilar [ctb] (Nonparametric quantile causality methodology)


Documentation:   PDF Manual  


GPL-3 license


Imports quantreg, waveslim, plotly, stats, utils, grDevices

Suggests knitr, rmarkdown, testthat


See at CRAN